Principal, Data Scientist

Position Summary

Join the Associate AI Experiences team to apply advanced data science, machine learning, and agentic AI to solve high-impact business problems across Walmart’s global operations. You will build production ML systems, deploy autonomous AI agents, and translate complex data into actionable insights that drive measurable business value at massive scale.

What you'll do...

• Build and deploy production ML systems end-to-end, including data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale
• Architect and deploy autonomous AI agents, including conversational assistants, predictive agents with tool calling, and multi-agent orchestration systems using LangChain, Pydantic AI, and RAG patterns
• Design agentic evaluation frameworks to benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy
• Deploy NLP pipelines at enterprise scale, enabling semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS)
• Engineer computer vision systems for real-time inference (YOLO, RT-DETR, CLIP) with multi-GPU training optimization
• Build time-series forecasting models that drive inventory optimization, demand planning, and financial projections across multiple geographies
• Present insights to senior leadership using compelling data visualizations, quantified business impact, and clearly defined confidence intervals
• Mentor team members on advanced modeling techniques, feature engineering, and experimental design
• Travel internationally to support Walmart operations in Canada, Chile, Mexico, South Africa, Europe, and the UK

Minimum Qualifications

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
• Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
• 7 years' experience in an analytics or related field.

Preferred Qualifications

• Data science, machine learning, optimization models
• PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
• Publications or active peer reviewer in related journals or conferences
• Successful completion of one or more assessments in Python, Spark, Scala, or R
• Using open source frameworks (for example, scikit learn, tensorflow, torch)
• Background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly